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speecht5_finetuned_voxpopuli_nl
silinu/speecht5_finetuned_voxpopuli_nl
speecht5_finetuned_voxpopuli_nl is a machine learning model from silinu. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- speecht5
- Access
- Public
- Created
- Nov 13, 2024
- Updated
- Nov 14, 2024
- SHA
- 2d3fea86
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
speecht5_finetuned_voxpopuli_nl
This model is a fine-tuned version of microsoft/speecht5_tts on the None dataset.
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 20
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 160
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 1000
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.41.2
- Pytorch 2.5.0+cu124
- Datasets 2.19.1
- Tokenizers 0.19.1
- Type
- speecht5
- License
- mit
- Created
- Nov 13, 2024
- Updated
- Nov 14, 2024